- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Day 42: Async Offloading: Moving Events to Background Job Queues
Scale your systems like a pro with Async Offloading using Message Queues . In this video, we break down how to eliminate synchronous bottlenecks by moving heavy tasks (like emails, indexing, and image processing) into background workers using Redis Streams. Learn how producers dispatch events instantly, how workers consume and process them independently, and why this pattern is critical for handling massive traffic without slowing down user requests. Perfect for engineers building resilient, high-performance, event-driven systems.
#SystemDesign #AsyncProcessing #MessageQueue #Redis #BackendEngineering #Scalability #DistributedSystems #EventDrivenArchitecture #PerformanceOptimization #PHP
Видео Day 42: Async Offloading: Moving Events to Background Job Queues канала systemdr
#SystemDesign #AsyncProcessing #MessageQueue #Redis #BackendEngineering #Scalability #DistributedSystems #EventDrivenArchitecture #PerformanceOptimization #PHP
Видео Day 42: Async Offloading: Moving Events to Background Job Queues канала systemdr
Комментарии отсутствуют
Информация о видео
5 мая 2026 г. 10:41:31
00:00:59
Другие видео канала
Day 80: Bias and Fairness Monitoring: Identifying Disparate Impact in Real-Time
Day 16: HikariCP Connection Pool Tuning and Exhaustion Recovery
Day 77: SLO Monitoring: Defining Error Budgets for 100M RPS Platforms.
Day 30: RAG Part 2 — Synthesis and Grounding over Local Data
Day 35: Security at Hyperscale – Zero Trust and OAuth2
Day 40: Database Performance Modeling – B-Trees and Disk I/O
Day 68: Probabilistic Eviction — Managing Memory Limits at Scale
Day 39: Anti-Pattern Defense: Eliminating the Service Locator.
Day 52: The Parser: Transforming Tokens into an AST.
Day 21: The Unified Data API — Routing Queries to the Optimal Store
Day 74: Span Attributes: Adding CMS-specific metadata to traces.
Day 11: CQRS Consistency — Handling Eventual Updates in the UI
Day 26: Metastable Failure Detection & GC Feedback Loops
Day 90: Final Audit: Fortifying Your High-Scale PHP CMS for Production
Day 21: Arthas Toolkit Mastery: Real-Time Method Tracing and Monitoring
Lesson 67: Pods — The Atomic Unit of Kubernetes
Day 69: Session Scaling — Redis-backed Persistent Sessions
Day 28: Content Moderation at Scale – ML + Java Systems
Day 32: CQRS and Event Sourcing – Managing Complex State
Day 43: Failure Probability – Predicting System Outages
